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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Jun 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
August 2025
Nuclear Technology
July 2025
Fusion Science and Technology
Latest News
WIPP’s SSCVS: A breath of fresh air
This spring, the Department of Energy’s Office of Environmental Management announced that it had achieved a major milestone by completing commissioning of the Safety Significant Confinement Ventilation System (SSCVS) facility—a new, state-of-the-art, large-scale ventilation system at the Waste Isolation Pilot Plant, the DOE’s geologic repository for defense-related transuranic (TRU) waste in New Mexico.
Technical Session|Sponsored by MCD
Wednesday, June 15, 2022|1:00–2:45PM PDT|Avila B
Session Chair:
Madicken Munk (Univ. Illinois, Urbana-Champaign)
Alternate Chair:
Alex Robinson (LLNL)
Session Organizer:
Brian C. Kiedrowski (Univ. Michigan)
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Why is Uncertainty Quantification Hard for Industrial Users?
Graham Macpherson (Frazer-Nash Consultancy), Neil Headings (Frazer-Nash Consultancy)
Paper
Numerical Investigation on the Performance of a Variance Deconvolution Estimator
Kayla Clements (Oregon State ), Gianluca Geraci (Sandia), Aaron Olson (Sandia)
Quantification of Deep Neural Networks Approximation Uncertainties for Transient Simulations
Mahmoud Yaseen (NCSU), Xu Wu (NCSU)
Analysis of Nuclear Research Reactor Experiments Using Machine Learning
Roberto E. Fairhurst-Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Data Augmentation with Generative Adversarial Networks
Farah Alsafadi (NCSU), Xu Wu (NCSU)
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